Phylogenetic Likelihood Functions

Phylogenetic Likelihood Functions is a mathematical framework in computational phylogenetics that quantifies the probability of observed molecular sequence data given a specific phylogenetic tree topology, branch lengths, and evolutionary substitution model.

140

Publications

27.9K

Citations

309

Authors

210

Institutions

Publications per year

2017–2026

15

Authors

309

  1. AS
    Alexandros Stamatakis

    Heidelberg Institute for Theoretical Studies, Germany

    17 publications · 1.2K citations

    15

    h-index

  2. JP
    John P. Huelsenbeck

    University of California, Berkeley, United States

    7 publications · 3.4K citations

    7

    h-index

  3. ZY
    Ziheng Yang

    University College London, United Kingdom

    6 publications · 4K citations

    6

    h-index

  4. DL
    David L. Swofford

    Smithsonian Institution, United States

    5 publications · 1.8K citations

    5

    h-index

  5. NG
    Nick Goldman

    European Bioinformatics Institute, United Kingdom

    5 publications · 533 citations

    5

    h-index

1–5 of 309

Venues

  1. Systematic Biology

    24 publications · 3.9K citations

    18

    h-index

  2. Bioinformatics

    13 publications · 4.7K citations

    13

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  3. Molecular Phylogenetics and Evolution

    13 publications · 1.4K citations

    12

    h-index

  4. Journal of Molecular Evolution

    11 publications · 6.7K citations

    11

    h-index

  5. Molecular Biology and Evolution

    MBE · 11 publications · 2.6K citations

    11

    h-index

1–5